Scelte gestionali per sostenere e migliorare i programmi di screening oncologico.

Improving screening programmes in terms of increasing screening participation and providing appropriate follow-up is a major challenge requiring great planning. This contribution discusses the effect of a major intra-organizational intervention on three population-based oncological screening programs (i.e., breast, cervical, and colorectal cancers) active in a large Italian Screening Centre. A review of the literature data on the key elements for high-quality healthcare was conducted. The PRECEDE-PROCEED model was retrospectively used as a theoretical frame for the improvement strategies adopted in the Centre. Classification of interventions to increase participation was performed according by target: individual, population, health workers, tests, and health service management. To assess the impact of the reorganization on the three screening programmes, the 'participation rate in the first-level screening tests' indicator was considered; the years 2018, 2019, and 2022 were analyzed.The main factors driven by the change were optimization of resources (human and financial), a stronger leadership, a higher collaboration level, stakeholders' engagement, positive work culture, and continuous staff learning. Reminders to non-responders (mobile phone text-message and letter), delivery of publicity by media, offering the self-sampling method for HPV testing, and increasing accessibility were implemented.A significant increase in screening participation was observed for all screening programmes when comparing the participation rates in 2022 to those in 2018 and 2019. In particular, focusing on 2019 (the last standard activity year before the COVID-19 emergency), an increase in participation rate of 3% for breast, 8.5% for cervical, and 4.6% for colorectal cancer screening was observed. This increase can plausibly be an effect of the improvement strategies implemented in the Centre.Performance measurements and internal and external feedback are regularly conducted to ensure ongoing improvement.

Applying the healthcare failure mode and effects analysis approach to improve the quality of an organised colorectal cancer screening programme.

OBJECTIVE: The first level of a colorectal cancer (CRC) screening process was systematically analysed using the Healthcare Failure Mode and Effects Analysis (HFMEA) approach by a multidisciplinary team aiming to improve the programme quality. SETTING: The study was conducted at the Local Health Authority of Bologna, Northern Italy. METHODS: Seven brainstorming sessions were conducted and all the activities performed were recorded on a FMEA worksheet consisting of individual records reporting the specific phases of the analysed process along with associated activities, possible failure modes, their causes and effects, the obtained risk priority numbers (RPNs) and the control measures to plan. RESULTS: Twenty-three failure modes, 14 effects and 12 possible causes were identified. Nine failure modes were prioritised according to the RPN obtained; most resulted in possible false-negative faecal immunochemical test (FIT) results (66.7%), followed by sample loss (22.2%) and not reaching the entire target population (11.1%). This leads to 66.7% of corrective/preventive actions being applied to the phase of returning the stool sample by the citizen. For this phase reorganisation, the local pharmacies were involved not only as FIT kit delivery points but also as specimen collection and sending points to the laboratory. These organisational changes allowed the introduction of complete traceability of kits and specimens flow, as well as temperature control. A re-evaluation of the prioritised failure modes 6 months after launching the implemented screening process showed that HFMEA application decreased the risk of potential errors by 75.9%. CONCLUSION: HFMEA application in CRC screening programme is a useful tool to reduce potential errors.

The Positive Effect of an Online Appointment Portal on a Breast Cancer Screening Program.

BACKGROUND: The adoption of web-based appointment methods by health care systems is increasing. OBJECTIVES: This study primarily aimed to evaluate in the setting of an organized breast cancer screening program the actual usage of an online appointment portal by the target population, i.e., how the online tool was used (type and timing of the actions performed) and by whom (users' characteristics); the effect of coronavirus disease 2019 (COVID-19) on its usage was also investigated. The effect of adopting this tool on the attendance to breast cancer screening was contextually investigated. METHODS: Electronic data records of 75,903 women (45-74 years old, residing in the territory of Bologna Local Health Authority) were retrospectively reviewed. RESULTS: In total, 12.4% of women logged into the online portal at least once. Most of them (79.9%) rescheduled, 15.7% viewed, and 4.4% cancelled their own appointment. In addition, 40.6% of all rescheduling actions were performed by the online portal; the remaining was performed by the toll-free number/dedicated email address. The highest peak (13.8%) of web accesses was registered at 10 a.m. Monday to Friday, when the toll-free number service is available. Percentages of portal usage were higher: (1) among the younger women, of Italian nationality, and for the first time invited to mammographic screening (p < 0.0001), and (2) in the pandemic period versus the prepandemic period (12.5 vs. 8.6%, respectively; p < 0.001). Finally, when compared to not using, the online portal usage led to an overall reduction in the no-show rate of almost 20% (p < 0.0001). CONCLUSION: The action mainly performed by using the online appointment portal was the appointment rescheduling. The usage of this tool had a positive effect on the no-show rate and it can be speculated that has led to a reduction of the request load to be handled by the center's screening staff. Finally, this study confirmed that the COVID-19 pandemic boosted the use of digital technologies.

Emergency Department Visits and Summer Temperatures in Bologna, Northern Italy, 2010-2019: A Case-Crossover Study and Geographically Weighted Regression Methods.

The aim of the study is to evaluate the association between summer temperatures and emergency department visits (EDVs) in Bologna (Italy) and assess whether this association varies across areas with different socioeconomic and microclimatic characteristics. We included all EDVs within Bologna residences during the summers of 2010-2019. Each subject is attributed a deprivation and a microclimatic discomfort index according to the residence. A time-stratified case-crossover design was conducted to estimate the risk of EDV associated with temperature and the effect modification of deprivation and microclimatic characteristics. In addition, a spatial analysis of data aggregated at the census block level was conducted by applying a Poisson and a geographically weighted Poisson regression model. For each unit increase in temperature above 26 °C, the risk of EDV increases by 0.4% (95%CI: 0.05-0.8). The temperature-EDV relationship is not modified by the microclimatic discomfort index but rather by the deprivation index. The spatial analysis shows that the EDV rate increases with deprivation homogeneously, while it diminishes with increases in median income and microclimatic discomfort, with differences across areas. In conclusion, in Bologna, the EDV risk associated with high temperatures is not very relevant overall, but it tends to increase in areas with a low socioeconomic level.

COVID-19 vaccine effectiveness among the staff of the Bologna Health Trust, Italy, December 2020-April 2021.

BACKGROUND AND AIM: Randomized controlled trials have shown that mRNA vaccines are highly effective in preventing SARS-CoV2 infection. We conducted a study to assess the real-world effectiveness of mRNA vaccines (Pfizer-BioNTech or Moderna) in preventing all and symptomatic SARS-CoV2 infections and COVID-19 related hospitalizations in the staff of the Bologna Health Trust (HT), Italy Methods: We followed up retrospectively 9839 staff of the Bologna HT from December 27, 2020 to April 3, 2020 and calculated the effectiveness in partially and fully vaccinated subjects by applying a multivariable Cox proportional hazard model. RESULTS: Vaccine effectiveness in preventing SARS-CoV2 infections is 85.5% (95%CI: 75.9-91.3) in the partially vaccinated and 84.8% (95%CI: 73.2-91.4) in the fully vaccinated. In preventing symptomatic infection effectiveness is 81.7% (95%CI: 62.7-91.0) in the partially and 87.1% (95%CI: 69.3-94.6) in the fully vaccinated. There were no COVID-19-related hospitalizations in the partially or fully vaccinated vs 15 hospitalization in the unvaccinated cohort. CONCLUSIONS: Our results confirm the effectiveness of mRNA vaccines in a real-world setting in Northern Italy.

A large outbreak of giardiasis in a municipality of the Bologna province, north-eastern Italy, November 2018 to April 2019.

Giardiasis, the disease caused by the flagellate Giardia duodenalis (syn. G.lamblia, G. intestinalis), is the most commonly reported among the five food- and waterborne parasitic diseases under mandatory surveillance in 24 EU countries. From November 2018 to April 2019, an outbreak of giardiasis occurred in a municipality of the Bologna province, in north-eastern Italy. Microscopy and immunochromatography identified cysts and antigens, respectively, of the parasite in stool samples of 228 individuals. Molecular typing of 136 stool samples revealed a vast predominance (95%) of G. duodenalis assemblage B. Investigations into potential sources indicated tap water as the most likely vehicle of infection, although cysts were not detected in water samples. Control measures mostly aimed at preventing secondary transmission by informing citizens about the outbreak, and by treatment of patients with anti-parasitic drugs. This is the first documented human outbreak of giardiasis in Italy; its investigation has highlighted the difficulties in the timely detection and management of this parasite, which is often overlooked as a cause of human gastroenteritis. The long and variable incubation time, absence of specific symptoms and a general lack of awareness about this pathogen contributed to delay in diagnosis.

Subsequent attendance in a breast cancer screening program after a false-positive result in the Local Health Authority of Bologna (Italy).

We conducted a cross-sectional study to assess the likelihood of returning for routine breast cancer screening among women who have experienced a false-positive result (FPR) and to describe the possible individual and organizational factors that could influence subsequent attendance to the screening program. Several information were collected on demographic and clinical characteristics data. Electronic data from 2014 to 2016 related to breast screening program of the Local Health Authority (LHA) of Bologna (Italy) of women between 45 and 74 years old were reviewed. A total of 4847 women experienced an FPR during mammographic screening and were recalled to subsequent round; 80.2% adhered to the screening. Mean age was 54.2 ± 8.4 years old. Women resulted to be less likely to adhere to screening if they were not-Italian (p = 0.001), if they lived in the Bologna district (p < 0.001), if they had to wait more than 5 days from II level test to end of diagnostic procedures (p = 0.001), if the diagnostic tests were performed in a hospital with the less volume of activity and higher recall rate (RR) (p < 0.001) and if they had no previous participation to screening tests (p < 0.001). Our results are consistent with previous studies, and encourages the implementation and innovation of the organizational characteristics for breast cancer screening. The success of screening programs requires an efficient indicators monitoring strategy to develop and evaluate continuous improvement processes.

COVID-19 cases before and after the "I Stay at home" decree, Bologna Local Health Authority, Italy.

BACKGROUND AND AIM OF THE WORK: Various measures have been taken by the Italian Government to contain and mitigate the COVID-19 outbreak and on March 11th a decree called "I stay at home" put the whole nation under lockdown. Our aim is to describe sociodemographic and transmission profile of COVID-19 cases that were transmitted before and after the introduction of the decree in the Bologna Local Health Authority. METHODS: Cases were classified as transmitted before or after the decree according to the date of last contact with a COVID-19 case or, if this date was unavailable, we used the date of onset of symptoms considering the incubation period. Sociodemographic, clinical and epidemiological information was collected by using the infectious disease monitoring database, hospital discharge, deprivation index and long term care facility databases. RESULTS: In the period after the publication of the decree, there were more elderly, females, strangers, retired, residents in nursing homes and deprived people than in the first period. There were also more health care personnel and less professionals/managers, sales or office workers. In both phases, family is mentioned as the first community attended although less frequently in the second group. CONCLUSIONS: The profile of the new COVID-19 cases changed during the outbreak suggesting a differential effect of lockdown measures on the population. An equity lens should be used when analyzing the impact of pandemia and the measures taken to curb it.

An ecological study on health inequalities in the city of Bologna (Emilia-Romagna Region, Northern Italy): bridging knowledge and action.

BACKGROUND: since January 2017, a multidisciplinary research group, involving the Local Health Authority, the Municipality, and the University of Bologna, carried out a city-wide action-research project on health inequalities consisting of an ecological study over the years 2011-2015 based on indicators that are routinely available within health and social services. OBJECTIVES: to document existing geographical inequalities in health outcomes and use of healthcare services in the city of Bologna (Emilia-Romagna Region, Northern Italy), with the aim to suggest policy action to tackle them. DESIGN: the results of the first phase of the above-mentioned project were reported: five related to the social determinants of health (exposure) and five related to the social determinants of ill-health (outcomes). For each municipal statistical area, the distribution of the exposures as well as rates and Bayesian Relative Risks of the outcomes were plotted on the city map. To evaluate the association between social determinants and health outcomes, Spearman correlation coefficients were estimated. SETTING AND PARTICIPANTS: residents in the city of Bologna aged >=18 years in the period 2011-2015, grouped into 90 statistical areas. RESULTS: a North-South divide was apparent for most of the socioeconomic and ill-health indicators, with a high concentration of adverse outcomes in the North-Western part of the city. Adherence to cancer screening represented an exception, being greater in the areas with higher proportion of unfavourable health outcomes. An inverse association between education level and health outcomes was found. Low family income was weakly to moderately correlated with health outcomes. Proportion of residents in council houses and of the teenage foreign population showed a moderate to strong association with all outcomes, but mortality and screening adherence. CONCLUSIONS: an ecological analysis based on data that are routinely collected by local health and social institutions can be effective in revealing the geographical patterns of health inequalities. When accompanied by strategic choices aimed at bridging knowledge and action, this approach may facilitate the direct engagement of local actors towards health equity.

[Effects of high temperature and air pollution on the risk of preterm births. Analysis in six Italian cities, 2001-2010]. / Effetti delle alte temperature e dell'inquinamento atmosferico sul rischio di nascita pretermine. Analisi in sei città italiane, 2001-2010.

OBJECTIVES: to evaluate the association between short term maternal exposure to high temperature and air pollution on preterm births (PBs), which represent the first cause of perinatal mortality and morbidity in developed Countries, and to identify maternal risk factors enhancing individual susceptibility. DESIGN: time series. SETTING E PARTICIPANTS: all singleton live-births occurred in six Italian cities between 1st April and 31st October of each year in the period 2001-2010 were identified through the Certificate of Delivery Care Registry (CedAP). MAIN OUTCOME MEASURES: births occurred between 22nd and 36th week of gestation were defined as preterm births. Daily values were obtained for maximum apparent temperature (MAT), PM10, NO2, and O3. Exposures-preterm births association was estimated using a generalized additive model (GAM) with a Poisson distribution. Exposure and city-specific lag structure were computed using a non-linear distributed lag model (DLNM). RESULTS: 121,797 newborns were enrolled, 6,135 (5.0%) of which were PBs. For MAT, a linear relationship was observed for Turin (Piedmont Region, Northern Italy), Trieste (Friuli Venezia Giulia Region, Northern Italy), Rome (Lazio Region, Central Italy), and Palermo (Sicily Region, Southern Italy), while non-linear relationship was found for Bologna (Emilia-Romagna Region, Northern Italy) and Venice (Veneto Region, Northern Italy). The relative risks (RR) for MAT, computed comparing the 90th vs. the 75th percentile, vary from 1.02 (95%CI 0.95-1.09; lag 0-2) in Palermo to 1.94 (95%CI 1.32-2.85; lag 0-3) in Venice. For pollutants, a significant effect for 10 µg/m3 (IQR) increase of PM10 in Rome (RR: 1.07; 95%CI 1.02-1.12; lag 12-22) and for 16 µg/m3 (IQR) increase of O3 in Palermo (RR: 1.29; 95%CI 1.03-1.62; lag 2-9) was detected. In Rome, a significant effect modification by age and education level of the MAT-PB relationship and by education level and clinical conditions of PM10-PB was found. CONCLUSIONS: results showed a clear positive association between MAT and the risk of NP and a lower and variable effect of pollutants. It is important and necessary to limit the impact of these risk factors on the probability of NP with appropriate prevention programmes.

[Development of a predictive model of death or urgent hospitalization to identify frail elderly]. / Sviluppo di un modello predittivo di decesso o ricovero d'urgenza per l'individuazione degli anziani fragili.

OBJECTIVES: to develop and validate a predictive model of mortality or emergency hospitalization in all subjects aged 65 years and over. DESIGN: cohort study based on 9 different databases linked with each other. SETTING AND PARTICIPANTS: the model was developed on the population aged 65 years and over resident at 01.01.2011 for at least two years in the city of Bologna (Emilia-Romagna Region, Northern Italy); 96,000 persons were included. MAIN OUTCOME MEASURES: the outcome was defined in case of emergency hospitalization or death during the one-year follow-up and studied with a logistic regression model. The predictive ability of the model was evaluated by using the area under the Roc curve, the Hosmer-Lemeshow test, and the Brier score in the derivation sample (2/3 of the population). These tests were repeated in the validation sample (1/3 of the population) and in the population of Bologna aged 65 years and over on 01.01.2012, after applying the coefficients of the variables obtained in the derivation model. By using the regression coefficients, a frailty index (risk score) was calculated for each subject later categorized in risk classes. RESULTS: the model is composed of 28 variables and has good predictive abilities. The area under the Roc curve of the derivation sample is 0.77, the Hosmer-Lemeshow test is not significant, and the Brier score is 0.11. Similar performances are obtained in the other two samples. With increasing risk class, the mean age, number of hospitalizations, emergency room service consultations, and multiple drug prescriptions increase, while the average income decreases. CONCLUSION: the model has good predictive ability. The frailty index can be used to support a proactive medicine and stratify the population, plan clinical and preventive activities or identify the potential beneficiaries of specific health promotion projects.

[Meta-analysis or pooled analysis? A comparison based on time-series used for the analysis of short-term effects of air pollution on human health]. / Metanalisi o analisi pooled? Un confronto basato su serie storiche per l'analisi degli effetti a breve termine dell'inquinamento atmosferico sulla salute umana.

OBJECTIVES: to compare the meta-analysis and the pooled analysis approach to study short-term effects of air pollution on human health in Emilia-Romagna Region (Central Italy) cities, characterised by strong homogeneity of environmental and sociodemographic features. METHODS: application of fixed-effects meta-analysis and fixed-effects pooled analysis on time-series data of seven cities in Emilia-Romagna in the period 2006-2010. The relationship among adverse health events (deaths due to natural causes, cardiovascular disease, cerebrovascular disease and respiratory disease) and concentrations of PM10, PM2.5 and NO2 was investigated by means of GAM models, using the EpiAir protocol. RESULTS: the pooled analysis application entailed a gain in terms of precision of effect estimates in respect to meta-analysis approach. The interval widths of pooled analysis are lower than those of meta-analytic estimates, with percentage reductions between 7% and 43%. This power increase led to a major number of statistically significant pooled analysis estimates. It has been a generally good correspondence between the two methods in terms of direction and strength of the association among health outcomes and the various pollutants. An exception is the PM10 effect estimate on respiratory mortality, where the meta-analytic estimate was significantly higher and not in line with literature data. CONCLUSIONS: the study highlighted the increase in accuracy and stability of effect estimates obtained from a pooled analysis compared to a meta-analysis in a regional context such as the Emilia-Romagna Region, characterised by the absence of heterogeneity in exposure to pollutants and other confounders. In this context, the pooled approach is to be considered preferable to meta-analysis.

[Environmental indicators in EpiAir2 project: air quality data for epidemiological surveillance]. / Indicatori ambientali nello studio EpiAir2: i dati di qualità dell'aria per la sorveglianza epidemiologica.

OBJECTIVE: construction of environmental indicators of air pollution suitable for epidemiological surveillance in 25 Italian cities for EpiAir2 project (2006-2010) and presentation of the results from a 10 years of surveillance system (2001-2010) in 10 Italian cities. DESIGN: data on particulate matter (PM10 and its fine fraction PM2.5), nitrogen dioxide (NO2), and ozone (O3), measured in the 2006-2010 calendar period, were collected. Meteorological data needed to estimate unbiased measures of the effect of pollutants are: temperature, relative humidity (estimated "apparent temperature"), and barometric pressure. In continuity with the previous EpiAir project, the same criteria for the selection of monitoring stations were applied and standard methods to estimate daily environmental indicators were used. Furthermore, it was checked the adequacy of the selected data to represent the population exposure. SETTING AND PARTICIPANTS: EpiAir2 project, relative to the period 2006-2010, involves the cities of Milano, Mestre-Venezia, Torino, Bologna, Firenze, Pisa, Roma, Taranto, Cagliari, and Palermo, already included in the previous study. The city of Treviso, Trieste, Padova, Rovigo, Piacenza, Parma, Ferrara, Reggio Emilia, Modena, Genova, Rimini, Ancona, Bari, Brindisi, and Napoli are added to the previous group. RESULTS: particulate matter concentrations have decreased in most cities during the study period, while concentrations of NO2 and ozone do not show a similar clear trend. The analysis of the trend showed annual mean values of PM10 higher than 40 µg/m(3) in some areas of the Po Valley, and annual mean values of NO2 higher than 40 µg/m(3) in the cities of Trieste, Milano, Padova, Torino, Modena, Bologna, Roma, and Napoli. CONCLUSION: the enlargement of the EpiAir project to 13 other cities has highlighted critical issues related to the different geographical areas under study. Results of EpiAir2 project point out the need of a monitoring system of air pollution concentrations in both urban and industrial sites, in order to obtain reliable estimates of exposure for resident populations and to evaluate the related time trend.